Literature DB >> 17046235

High-throughput human metabolism and toxicity analysis.

Moo-Yeal Lee1, Jonathan S Dordick.   

Abstract

Poor drug candidate safety profiles are often identified late in the drug development process, manifesting themselves in the preclinical and clinical phases and significantly contributing to the high cost and low yield of drug discovery. As a result, new tools are needed to accelerate the assessment of drug candidate toxicity and human metabolism earlier in the drug development process, from primary drug candidate screening to lead optimization. Although high-throughput screens exist for much of the discovery phase of drug development, translating such screening techniques into platforms that can accurately mimic the human in vivo response and predict the impact of drug candidates on human toxicology has proven difficult. Nevertheless, some success has been achieved in recent years, which may ultimately yield widespread acceptance in the pharmaceutical industry.

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Year:  2006        PMID: 17046235     DOI: 10.1016/j.copbio.2006.09.003

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  11 in total

1.  Metabolic enzyme microarray coupled with miniaturized cell-culture array technology for high-throughput toxicity screening.

Authors:  Moo-Yeal Lee; Jonathan S Dordick; Douglas S Clark
Journal:  Methods Mol Biol       Date:  2010

2.  Toxicity testing in the 21st century: a vision and a strategy.

Authors:  Daniel Krewski; Daniel Acosta; Melvin Andersen; Henry Anderson; John C Bailar; Kim Boekelheide; Robert Brent; Gail Charnley; Vivian G Cheung; Sidney Green; Karl T Kelsey; Nancy I Kerkvliet; Abby A Li; Lawrence McCray; Otto Meyer; Reid D Patterson; William Pennie; Robert A Scala; Gina M Solomon; Martin Stephens; James Yager; Lauren Zeise
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2010-02       Impact factor: 6.393

3.  High-throughput small molecule identification using MALDI-TOF and a nanolayered substrate.

Authors:  Jeong Heon Lee; Hak Soo Choi; Khaled A Nasr; Miyoung Ha; Yangsun Kim; John V Frangioni
Journal:  Anal Chem       Date:  2011-06-08       Impact factor: 6.986

4.  Superior oxygen and glucose supply in perfusion cell cultures compared to static cell cultures demonstrated by simulations using the finite element method.

Authors:  Shinji Sugiura; Yusuke Sakai; Kohji Nakazawa; Toshiyuki Kanamori
Journal:  Biomicrofluidics       Date:  2011-06-29       Impact factor: 2.800

Review 5.  Microfabricated mammalian organ systems and their integration into models of whole animals and humans.

Authors:  Jong H Sung; Mandy B Esch; Jean-Matthieu Prot; Christopher J Long; Alec Smith; James J Hickman; Michael L Shuler
Journal:  Lab Chip       Date:  2013-04-07       Impact factor: 6.799

6.  Prediction of metabolism-induced hepatotoxicity on three-dimensional hepatic cell culture and enzyme microarrays.

Authors:  Kyeong-Nam Yu; Sashi Nadanaciva; Payal Rana; Dong Woo Lee; Bosung Ku; Alexander D Roth; Jonathan S Dordick; Yvonne Will; Moo-Yeal Lee
Journal:  Arch Toxicol       Date:  2017-11-22       Impact factor: 5.153

7.  Liver Cell Culture Devices.

Authors:  B Andria; A Bracco; G Cirino; R A F M Chamuleau
Journal:  Cell Med       Date:  2010-07-01

Review 8.  Recent Advances in Genetic Technique of Microbial Report Cells and Their Applications in Cell Arrays.

Authors:  Do Hyun Kim; Moon Il Kim; Hyun Gyu Park
Journal:  Biomed Res Int       Date:  2015-09-07       Impact factor: 3.411

9.  High-throughput and combinatorial gene expression on a chip for metabolism-induced toxicology screening.

Authors:  Seok Joon Kwon; Dong Woo Lee; Dhiral A Shah; Bosung Ku; Sang Youl Jeon; Kusum Solanki; Jessica D Ryan; Douglas S Clark; Jonathan S Dordick; Moo-Yeal Lee
Journal:  Nat Commun       Date:  2014-05-06       Impact factor: 14.919

Review 10.  Idiosyncratic Drug-Induced Liver Injury (IDILI): Potential Mechanisms and Predictive Assays.

Authors:  Alexander D Roth; Moo-Yeal Lee
Journal:  Biomed Res Int       Date:  2017-01-04       Impact factor: 3.411

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